# Definitions for stochastic gradient descentsto·chas·tic gra·di·ent descent

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Stochastic gradient descent (often shortened to SGD), also known as incremental gradient descent, is an iterative method for optimizing a differentiable objective function, a stochastic approximation of gradient descent optimization. A 2018 article implicitly credits Herbert Robbins and Sutton Monro for developing SGD in their 1951 article titled "A Stochastic Approximation Method"; see Stochastic approximation for more information. It is called stochastic because samples are selected randomly (or shuffled) instead of as a single group (as in standard gradient descent) or in the order they appear in the training set.

### Numerology

1. Chaldean Numerology

The numerical value of stochastic gradient descent in Chaldean Numerology is: 7

2. Pythagorean Numerology

The numerical value of stochastic gradient descent in Pythagorean Numerology is: 4

## Translations for stochastic gradient descent

### From our Multilingual Translation Dictionary

• نزول شیب تصادفی
• 隨機梯度下降

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"stochastic gradient descent." Definitions.net. STANDS4 LLC, 2022. Web. 16 Jan. 2022. <https://www.definitions.net/definition/stochastic+gradient+descent>.

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